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Autor/inn/enHerodotou, Christothea; Rienties, Bart; Verdin, Barry; Boroowa, Avinash
TitelPredictive Learning Analytics "At Scale": Towards Guidelines to Successful Implementation in Higher Education Based on the Case of the Open University UK
QuelleIn: Journal of Learning Analytics, 6 (2019) 1, S.85-95 (11 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1929-7750
SchlagwörterPrediction; Data Analysis; Higher Education; Distance Education; Administrator Attitudes; Foreign Countries; Program Implementation; Guidelines; Probability; Academic Achievement; At Risk Students; Identification; College Students; Open Universities; Learner Engagement; College Faculty; Teacher Attitudes; Tuition; Professional Personnel; Science Education; Business Administration Education; Learning Analytics; United Kingdom
AbstractPredictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders (i.e., managers, teachers, students) about PLA. This paper presents an "at scale" implementation of PLA at a distance learning higher education institution and details, in particular, the perspectives of 20 educational managers involved in the implementation. It concludes with a set of recommendations about how best to adopt and apply large-scale PLA initiatives in higher education. (As Provided).
AnmerkungenSociety for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: http://learning-analytics.info/journals/index.php/JLA/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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